Evaluation of Responses to Questions About Keratoconus Using ChatGPT-4.0, Google Gemini and Microsoft Copilot: A Comparative Study of Large Language Models on Keratoconus

Although the answers of ChatGPT-4.0 to questions about keratoconus were more complex for patients than those of other language programs, the information provided was reliable and accurate.

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Publication Details

Journal
Eye & Contact Lens Science & Clinical Practice
Published
2024-12-04
DOI
https://doi.org/10.1097/icl.0000000000001158
Citations
19
Primary Topic
Corneal surgery and disorders
Type
article
Field-Weighted Citation Impact
7.68
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article

Evaluation of Responses to Questions About Keratoconus Using ChatGPT-4.0, Google Gemini and Microsoft Copilot: A Comparative Study of Large Language Models on Keratoconus

Süleyman Demir
19 citations
Eye & Contact Lens Science & Clinical Practice
Corneal surgery and disorders
7.68
article

Evaluation of Responses to Questions About Keratoconus Using ChatGPT-4.0, Google Gemini and Microsoft Copilot: A Comparative Study of Large Language Models on Keratoconus

Süleyman Demir
article en
19 citations

Abstract

Although the answers of ChatGPT-4.0 to questions about keratoconus were more complex for patients than those of other language programs, the information provided was reliable and accurate.

Eye & Contact Lens Science & Clinical PracticeVol. 51(3)
Apple (Israel) (IL)
Quality Education
Openalex Percentile: Top 2%
Corneal surgery and disorders
7.68
DOIOpen Access PDFOpenAlex
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Evaluation of Responses to Questions About Keratoconus Using ChatGPT-4.0, Google Gemini and Microsoft Copilot: A Comparative Study of Large Language Models on Keratoconus — Süleyman Demir · Eye & Contact Lens Science & Clinical Practice (2024) | TGRS Research Map | TGRS